How to calculate the frequency of each item in a Pandas series?

In this program, we will calculate the frequency of each element in a Pandas series. The function value_counts() in the pandas library helps us to find the frequency of elements.

Algorithm

Step 1: Define a Pandas series. Step 2: Print the frequency of each item using the value_counts() function.

Example Code

import pandas as pd series = pd.Series([10,10,20,30,40,30,50,10,60,50,50]) print("Series:\n", series) frequency = series.value_counts() print("\nFrequency of elements:\n", frequency)

Output

Series: 0     10 1     10 2     20 3     30 4     40 5     30 6     50 7     10 8     60 9     50 10    50 dtype: int64 Frequency of elements: 50    3 10    3 30    2 20    1 40    1 60    1 dtype: int64